Algorithm fusion for the detection and classification of sea mines in the very shallow water region using side-scan sonar imagery

被引：29
作者：
Dobeck, GJ [1 ]
机构：
[1] NSWC Coastal Syst Stn, Dahlgren Div, Panama City, FL 32407 USA
来源：
DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS V, PTS 1 AND 2 | 2000年 / 4038卷
关键词：
sea mines; naval mines; automatic detection; automatic classification; sensor fusion; data fusion; algorithm fusion; side-looking sonar; side-scan sonar; sonar imagery;
D O I：
10.1117/12.396262
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The very shallow water regions contain much mine-like clutter, which cause high false alarm rates in minehunting sonar systems. This paper presents a method for reducing false alarms by the fusion of multiple detection and classification algorithms. The algorithm fusion method is based on the well-known Fisher Discriminant.
引用
收藏
页码：348 / 361
页数：14
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